Staff Software Engineer, Bigquery Machine Learning

Google Google · Big Tech · Sunnyvale, CA +1

Staff Software Engineer role focused on designing and developing large-scale software services at the intersection of data analytics and Generative AI within Google Cloud Platform (GCP). The role involves researching, prototyping, and launching innovative solutions leveraging LLMs and advanced AI techniques, collaborating with product managers and customers to integrate ML/GenAI into BigQuery.

What you'd actually do

  1. Support the design and development of large-scale software services that revolutionize data analytics, with a focus on Machine Learning and Generative AI applications.
  2. Collaborate closely with technical leads to launch innovative solutions leveraging the power of Large Language Models, Agents and other advanced AI techniques.
  3. Navigate unexplored areas by prototyping and researching solutions for groundbreaking ML projects in BigQuery.
  4. Engage with product managers and customers to decipher requirements and translate them into actionable technical specifications, while identifying opportunities to integrate ML and Generative AI solutions.

Skills

Required

  • software development
  • software design and architecture
  • Speech/audio
  • reinforcement learning
  • ML infrastructure
  • ML design
  • ML deployment
  • ML evaluation
  • data processing
  • debugging
  • fine tuning
  • generative AI tools integration
  • LLM interfaces integration

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field
  • data structures and algorithms
  • technical leadership
  • complex, matrixed organization experience
  • GCP services
  • data analytics services
  • vertex AI

What the JD emphasized

  • 8 years of experience in software development
  • 5 years of experience testing, and launching software products
  • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Other signals

  • Generative AI
  • BigQuery
  • Large Language Models
  • ML applications